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### Model/Pipeline/Scheduler description
Conditional Diffusion Distillation (CoDi) is a new diffusion generation method recently proposed by Google Research and Johns Hopkins University. Accepted b…
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I checked requirement.txt under diffusion_distillation, it shows:
numpy
matplotlib
tensorflow
tensorflow_datasets
jax
jaxlib
pillow
flax
ml_collections
clu
But what are the version of t…
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### Model/Pipeline/Scheduler description
https://github.com/Zeqiang-Lai/OpenDMD
### Open source status
- [X] The model implementation is available.
- [X] The model weights are available (Only…
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### Model/Pipeline/Scheduler description
ConsistencyTTA, introduced in the paper [_Accelerating Diffusion-Based Text-to-Audio Generation
with Consistency Distillation_](https://arxiv.org/abs/2309.…
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### Model/Dataset/Scheduler description
Classifier-free guided diffusion models have recently been shown to be highly effective at high-resolution image generation, and they have been widely used in …
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https://arxiv.org/pdf/2310.01407.pdf
TBD
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Hi, respect for your awesome work! I have a question about the training. In backtracking stage, the generator's timestep is fixed to 399, and the timesteps of student and teacher are randomly sampled …
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Hi, thank you for your paper demystifying the "Variational Diffusion Models". In the original paper [Variational Diffusion Models version 1](https://arxiv.org/pdf/2107.00630v1) and 2, there is an equa…
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我想做一个图像翻拍与否的模型（翻拍图像往往有反光），我有一些正例和反例的数据，请问如何构建数据集？希望可以提供数据集构建的方法，十分感谢！